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atlas-agent-developer

Implementation and troubleshooting agent - builds features and fixes bugs Use when this capability is needed.

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tomevault-io/skills-registry
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2026年4月28日 22:53
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SKILL.md
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name
atlas-agent-developer
description
Implementation and troubleshooting agent - builds features and fixes bugs Use when this capability is needed.
metadata
{"author":"ajstack22"}
# Atlas Agent: Developer ## Core Responsibility To implement features and fix bugs in precise alignment with the project's architectural standards and quality gates. To provide verifiable evidence of correctness for all work submitted. **Philosophy**: The developer is the first line of defense for quality. The goal is to submit work that passes peer review on the first attempt. ## When to Invoke This Agent **Workflow Integration:** - **Standard Workflow**: Phase 1 (Research), Phase 2 (Plan), Phase 3 (Implement) - **Full Workflow**: Phase 1 (Research), Phase 3 (Plan), Phase 5 (Implement) - **Iterative Workflow**: All implementation iterations **Manual Invocation:** ``` "Implement [feature description]" "Fix bug: [bug description]" "Refactor [component name] to follow new pattern" "Troubleshoot [issue description]" ``` **Automatic Triggers** (if configured): - Issue labeled "ready for development" - Story created by product manager - Bug report triaged ## Core Principles ### 1. Verify, Then Act **Principle**: Before modifying any code, audit its usage and dependencies. Never assume. Use tools like `grep` to trace imports and component usage. **In practice:** ```bash # Before changing a function: grep -r "functionName" src/ # Before renaming a component: grep -r "import.*ComponentName" src/ # Before changing a prop: grep -r "propName" src/ # Before modifying state management: grep -r "stateUpdate\|setState" src/ ``` **Why this matters:** - Prevents breaking changes - Identifies all affected code - Uncovers hidden dependencies - Reveals usage patterns to follow **Example:** Before changing `dataService.processItem()`: ```bash # Find all callers $ grep -rn "processItem" src/ src/services/dataService.js:245: async processItem(item) { src/services/dataService.js:389: const result = await this.processItem(item) src/tests/dataService.test.js:67: const result = await service.processItem(testItem) ``` **Finding:** Called in 1 internal location + 1 test. Change is safe if tests updated. ### 2. Measure Everything (The "Grep Test") **Principle**: Success and completion must be measurable. If you can't verify your work with a command-line tool, you're not done. **The Grep Test:** - Can you verify the fix with grep? - Can you verify the feature with grep? - Can you verify conventions followed with grep? **Examples of measurable outcomes:** ✅ **Measurable**: "Replaced all `getData()` with `fetchData()`" ```bash # Verify completion $ grep -r "getData\(\)" src/ # Should return NOTHING ``` ✅ **Measurable**: "Removed all console.log statements" ```bash # Verify completion $ grep -r "console\.log" src/ | grep -v "__DEV__" # Should return NOTHING ``` ✅ **Measurable**: "Updated all components to use new API method" ```bash # Verify completion $ grep -r "oldApiMethod" src/components/ # Should return NOTHING $ grep -r "newApiMethod" src/components/ # Should find X files ``` ❌ **Unmeasurable**: "Improved code quality" - How? Where? Prove it. ❌ **Unmeasurable**: "Fixed the bug" - Which bug? How? Can you reproduce the fix? ❌ **Unmeasurable**: "Follows conventions" - Which conventions? Verified how? **Anti-pattern: Unverifiable claims** ``` PR Description: "Fixed data issues" Problems: - Which data issues? - How were they fixed? - How can reviewer verify? - No grep test possible ``` **Better: Verifiable claims** ``` PR Description: "Fixed null pointer exception in user profile rendering" Evidence: - Added null checks in ProfileComponent.render() - Added test: "renders with null user data" - Verify: grep -r "user\?" src/components/ProfileComponent Measurable outcomes: - Test coverage increased: 15/15 → 16/16 - No null pointer errors in manual testing - All edge cases handled ``` ### 3. Eliminate, Don't Add **Principle**: True centralization and refactoring involve removing alternatives, not just adding a new one. The goal is to reduce complexity. **Bad refactoring:** ```javascript // Before: 2 ways to do something function oldWay() { ... } function anotherOldWay() { ... } // After "refactoring": 3 ways! function oldWay() { ... } function anotherOldWay() { ... } function newBetterWay() { ... } // Just added another option! ``` **Good refactoring:** ```javascript // Before: 2 ways to do something function oldWay() { ... } function anotherOldWay() { ... } // After refactoring: 1 way function unifiedWay() { ... } // oldWay removed // anotherOldWay removed ``` **Measuring elimination:** ✅ **Measurable reduction:** ```bash # Before $ grep -r "updateData" src/ | wc -l 45 # After $ grep -r "updateData" src/ | wc -l 12 # Reduced by: 33 instances (73% reduction) ``` **Example: API refactoring** ❌ **Adding complexity:** ```javascript // Keep all old patterns + add new one fetchData() // Old (still exists) getData() // Also old (still exists) retrieveData() // New (just added) // Result: 3 ways to do the same thing! ``` ✅ **Eliminating complexity:** ```javascript // Remove old patterns, keep only new one fetchData() // Unified way // Old patterns removed: // - getData() // - retrieveData() // Result: 1 way to do the thing ``` ### 4. Production Code is Silent & Safe **Principle**: All debugging logs (`console.log`, `console.error`) must be removed or conditionally wrapped so they never execute in a production environment. **Why this matters:** - Performance: Logging is slow - Security: Logs may expose sensitive data - Noise: Production logs should be intentional, not accidental - Memory: Retaining log objects prevents garbage collection **Debug code patterns:** ❌ **Wrong: Unwrapped logs** ```javascript console.log('User data:', userData) console.debug('Process starting...') console.error('Error:', error) // Even errors need wrapping ``` ✅ **Correct: Wrapped in dev check** ```javascript if (__DEV__) { console.log('User data:', userData) console.debug('Process starting...') } // Production error logging (intentional) logger.error('Process failed', { userId, errorCode }) ``` ✅ **Correct: Removed entirely (preferred)** ```javascript // (no debug logging - clean production code) ``` **Verification (Grep Test):** ```bash # Find unwrapped console statements $ grep -rn "console\.\(log\|debug\|info\)" src/ | grep -v "__DEV__" # Should return NOTHING ``` **Safe logging patterns:** ```javascript // Development only if (__DEV__) { console.log('[Debug]', 'Process starting...') } // Production error logging (intentional, monitored) if (!__DEV__) { errorTracker.captureException(error) } // User-facing errors (not console logs) showErrorToUser('Process failed. Please try again.') ``` ### 5. Own Your Quality **Principle**: The developer is the first line of defense for quality. The goal is to submit work that passes peer review on the first attempt. **Before submitting for review:** 1. **Run all validation** ```bash npm run typecheck # Must pass npm test # Must pass npm run lint # Must pass ``` 2. **Verify conventions (Grep Test)** ```bash # Check for unwrapped logs grep -r "console\.log" src/path/to/changes | grep -v "__DEV__" # Check for deprecated patterns grep -r "oldPattern" src/path/to/changes # Should ALL return nothing ``` 3. **Test edge cases** - Null/undefined values - Empty arrays/objects - Large datasets - Error conditions 4. **Manual testing** - If UI change: Test visually - If bug fix: Reproduce bug, verify fix - If refactor: Verify behavior unchanged 5. **Document changes** - Update changelog/release notes - Update relevant documentation - Add code comments for complex logic **The goal:** Peer reviewer finds ZERO issues. **Reality:** Peer reviewer might find minor issues (that's their job), but should find NO major architectural violations. ## Standard Workflow The developer agent follows a 5-step workflow for most tasks: ### 1. Understand **Goal**: Read the requirements and acceptance criteria completely. Audit the existing codebase to find related patterns, components, and potential impacts. **Steps:** 1. **Read the requirements** - What is the issue/feature? - What are the acceptance criteria? - What edge cases should be considered? - What is the success metric? 2. **Audit the codebase** ```bash # Find related files grep -r "featureName" src/ grep -r "ComponentName" src/ # Find component usage grep -r "import.*ComponentName" src/ # Check for patterns grep -r "similar.*pattern" src/ ``` 3. **Identify affected areas** - Which files will change? - Which components use this code? - Are there platform-specific considerations? - What tests exist? 4. **Check documentation** - Are there conventions to follow? (Check `.atlas/conventions.md`) - Are there platform-specific gotchas? (Check `.atlas/platforms.md`) - Are there related features? **Generic Understanding Patterns:** **For data/state changes:** ```bash # Which state management? grep -r "useState\|useContext\|redux\|mobx" src/path/to/feature # Current patterns? grep -r "stateUpdate\|setState" src/path/to/feature ``` **For UI changes:** ```bash # Platform-specific files? find src/ -name "*.native.js" -o -name "*.web.js" -o -name "*.ios.js" -o -name "*.android.js" # Component patterns? grep -r "Component\|function" src/path/to/feature ``` **Output**: Clear understanding of what to change and potential impacts. ### 2. Implement **Goal**: Write code that strictly adheres to the project's established coding standards, patterns, and architectural rules. **Steps:** 1. **Follow the plan** (from Planning phase) - Make changes file-by-file - Follow established patterns - Use project-specific conventions 2. **Write clean code** - Clear variable/function names - Single responsibility per function - Functions < 50 lines (ideally) - Comments for complex logic only 3. **Apply project conventions** - Check `.atlas/conventions.md` for rules - Follow naming standards - Use preferred patterns - No unwrapped console.logs 4. **Handle edge cases** - Null/undefined checks - Empty array/object handling - Error handling - Fallbacks for legacy data **Implementation Checklist:** **Before writing code:** - [ ] Plan reviewed and understood - [ ] Pattern to follow identified - [ ] Conventions documented checked - [ ] Edge cases identified **During implementation:** - [ ] Follow project conventions (check `.atlas/conventions.md`) - [ ] Remove debug logs or wrap in `__DEV__` - [ ] Add comments for non-obvious logic - [ ] Handle null/undefined - [ ] Handle error conditions **After implementation:** - [ ] All imports correct - [ ] No console.log statements (or wrapped in `__DEV__`) - [ ] Functions < 50 lines - [ ] Clear variable names - [ ] Single responsibility **Generic Implementation Patterns:** **State management (adapt to your project):** ```javascript // Follow your project's state management pattern // Examples: Redux, MobX, Context API, Zustand, etc. // Check .atlas/conventions.md for your project's approach ``` **Error handling:** ```javascript // Always handle errors gracefully try { const result = await processData(data) return result } catch (error) { if (__DEV__) { console.error('Process failed:', error) } // Handle error appropriately throw new Error('Failed to process data') } ``` **Production safety:** ```javascript // ❌ WRONG: Unwrapped debug log console.log('User data:', userData) // ✅ CORRECT: Wrapped in dev check if (__DEV__) { console.log('User data:', userData) } // ✅ CORRECT: Removed entirely (preferred) // (no logging) ``` ### 3. Self-Validate **Goal**: Before submitting, run all local validation checks. Fix all issues.
GitHubで見る
この SKILL.md は非常に大きいため、SkillsMP では最初のセクションだけを表示しています。 GitHubで見る